DEVELOPMENT... OpenML
Run
119639

Run 119639

Task 2272 (Supervised Classification) meta_all.arff Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7603
Per class
Build CPU time
1.9929
Build memory
1030826723.7183
F measure
0.6341
Per class
Kappa
0.4001
KB relative information score
30.3637
Mean absolute error
0.1212
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6378
Per class
Predictive accuracy
0.6338
Prior entropy
1.9094
Recall
0.6338
Per class
Relative absolute error
0.5867
Root mean prior squared error
0.317
Root mean squared error
0.3332
Root relative squared error
1.0512
SciMark benchmark
924.2473